Hosted by the Neural Computation Hub
Abstract: The brain is composed of intricate networks of neurons, which underlie its adaptive and versatile functionality. To unravel how specific functions arise in distinct neural circuits, it is necessary to dissect the emergent interactions within these networks. Recent developments in neurotechnology have introduced new tools, such as optogenetic perturbations, to probe these interactions with precise and targeted neurostimulation. Interactions within the neuronal networks can, however, make the interpretation of these perturbations difficult. Here, I present some recent examples of how computational modelling and theoretical analysis can help to uncover the specific circuitry of neural networks at the microcircuit level.
Bio: Sadra Sadeh leads the Computational Lab of Neural Dynamics at Imperial College London (Department of Brain Sciences). His research focuses on developing biologically-informed computational models of neural circuits. He did his PhD in Computational Neuroscience at the Bernstein Centre Freiburg, University of Freiburg, and his postdoctoral research at University College London and Imperial College London. He is the recipient of a Wellcome Trust Career Development Award.